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Drees & Sommer

Global consulting for real estate and infrastructure

AI Engineer

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • A completed degree in Informatics, Computer Science, Data Science, Software Engineering, or a comparable technical qualification is required.
  • Relevant professional experience in Software Engineering, AI Engineering, Data Science, Machine Learning Engineering, or a comparable technical environment is required.
  • Practical experience with modern AI applications, such as LLM integration, RAG systems, agent architectures, Context Engineering, Tool Use, prompting, evaluation, or fine-tuning, is required.
  • Proficiency with relevant technologies such as Python, TypeScript, React, FastAPI, Docker, APIs, cloud platforms, and CI/CD, or comparable technology stacks, is required.
  • End-to-end understanding of AI applications—from data sources, retrieval, orchestration, and model integration through permissions, evaluation, monitoring, and operations—is required.
  • Understanding of security, data protection, compliance, and governance in enterprise environments is required.
  • Fluent English and good German language skills are required.

Responsibilities

  • Assess AI use cases from a technical perspective, including feasible approaches, effort, architecture, risks, data needs, and operational readiness.
  • Translate business needs with specialist departments into robust technical target architectures, and develop, test, and operate AI solutions using approved platforms, architectures, and enterprise AI guardrails.
  • Build and integrate AI components such as LLM-based applications, RAG pipelines, agents, tools, skills, APIs, and MCP integrations.
  • Develop and maintain frontend, backend, and integration components as appropriate to each use case.
  • Ensure solutions are secure, stable, and maintainable, accounting for cybersecurity, data protection, compliance, permissions, and operating models.
  • Support rollout, monitoring, ongoing development, and scaling of production AI solutions.
  • Document solutions, architecture decisions, and operational knowledge to preserve organizational know-how.
  • Collaborate with AI Lab, Digital Services, IT, Cyber Security, Data Governance, AI experts, and business stakeholders.
  • Evaluate new models, frameworks, and technologies and derive practical use cases for Drees & Sommer.
  • Develop local AI prototypes into secure, reusable, and scalable enterprise solutions.

About the Company

Drees & Sommer

Global consulting for real estate and infrastructure

Drees & Sommer delivers partner-managed, global consulting and implementation services for the real estate, infrastructure and industrial markets. Its teams provide sustainable, economically viable solutions tailored to each client’s needs, combining consulting with hands-on execution. Work flows through interdisciplinary groups led by Partners who are personally responsible for projects, guided by the “the blue way”—a holistic approach that balances economy, ecology and functionality and blends analytical rigor with creative thinking. The main differentiators are a partner-owned, intrapreneur-driven structure, a worldwide footprint (more than 6,500 people across 80 offices) and a commitment to uniting opposing concepts—tradition with the future, analog with digital, efficiency with well-being—into actionable outcomes. The goal is to help create a livable future by integrating sustainability, digitization and practical feasibility across projects.

Company size
1,001-5,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Stuttgart, Germany
Founded
1970

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